- Basic Technical Knowledge (Must Understand, Not Code) Google Cloud:

Understands how

BigQuery stores data and knows the purpose of

Dataflow/DataProc . Data Pipelines:

Knows how data moves via ETL tools. Automation:

Understands that

PySpark or

PL/SQL scripts schedule and automate data flows. Reporting Tools:

Knows how

Power BI or

Qlik dashboards deploy reports to business users. Agile Software:

High proficiency using

Jira

(backlogs/epics),

Jenkins , or

Bitbucket to track tasks.

- Business & System Knowledge (Valuable to have) Main Systems:

Has managed projects extracting data from systems like

SAP ,

Salesforce , and

Dealer Management Systems (DMS) . Sales Metrics:

Understands terms like sales pipeline, conversion rates, and CRM data. Finance Metrics:

Understands revenue tracking, cost reconciliation, and financial auditing needs.



Customer Experience:

Understands service turnaround times, CSAT, and NPS scores.

- Required Work Experience (Must) Data Focus:

Has led at least 1 large data warehouse, Lakehouse, or analytics projects from start to finish. Agile Leadership:

Has

3 to 5 years of Scrum Master or PMO experience running data teams. Mixed Teams:

Experience managing Data Engineers, Modelers, and Dashboard Developers simultaneously. Complex Migrations:

Proven experience moving data from older, heavy systems (like SAP) into cloud platforms. The "Translator" Role:

Clear ability to translate technical developer updates into simple business language for managers.

📌 GCP Project Manager (Mumbai)
🏢 Tech Mahindra
📍 Mumbai